How to read an Excel CSV file in Python

Question

data = ['a', 'b', 'c', 'd', 'c', 'd', 'c', 'd']

pattern_counts = {}

for i in range(len(data)-2):
    pattern = str(data[i]) + str(data[i+1]) + str(data[i+2])
    if pattern in pattern_counts:
        pattern_counts[pattern] += 1
    else:
        pattern_counts[pattern] = 1

for pattern, count in pattern_counts.items():
    print("{}: {}".format(pattern, count))

When this code executes, a list of patterns for three value sets is printed. It accomplishes this effectively and precisely.

I want to know how to get it to read an Excel CSV file with vertical values going down.

I've attempted and will continue to try breaking down the code to figure out how to translate it into reading cells.

Answer 1

The csv module or the pandas library are the two main ways to read an Excel CSV file in Python. Python's built-in csv module offers a straightforward method for reading CSV files. The Pandas library, on the other hand, is a strong tool for data manipulation and analysis and offers more sophisticated functionality for reading and processing CSV files. Your individual needs and the complexity of the data you are working with will determine which strategy you employ.